Triple
T5639987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 寺内正毅 |
E124241
|
entity |
| Predicate | 前職(内閣総理大臣) |
P4358
|
FINISHED |
| Object |
大隈重信
大隈重信は、立憲政友会と並ぶ政党である立憲改進党・立憲同志会などを率い、日本の近代政党政治と早稲田大学の創設に大きな役割を果たした政治家・教育者である。
|
E535207
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 大隈重信 | Statement: [寺内正毅, 前職(内閣総理大臣), 大隈重信]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大隈重信 Context triple: [寺内正毅, 前職(内閣総理大臣), 大隈重信]
-
A.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
-
B.
嶋田繁太郎
嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
-
C.
吉田 茂
吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
-
D.
栗林忠道
栗林忠道は、第二次世界大戦中に硫黄島守備隊を指揮し、徹底した防御戦術で知られる日本陸軍の将軍です。
-
E.
木戸孝允
木戸孝允は、長州藩出身で明治維新を主導した「維新の三傑」の一人として知られる日本の武士・政治家です。
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 大隈重信 Triple: [寺内正毅, 前職(内閣総理大臣), 大隈重信]
Generated description
大隈重信は、立憲政友会と並ぶ政党である立憲改進党・立憲同志会などを率い、日本の近代政党政治と早稲田大学の創設に大きな役割を果たした政治家・教育者である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 大隈重信 Target entity description: 大隈重信は、立憲政友会と並ぶ政党である立憲改進党・立憲同志会などを率い、日本の近代政党政治と早稲田大学の創設に大きな役割を果たした政治家・教育者である。
-
A.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
-
B.
嶋田繁太郎
嶋田繁太郎 was an Imperial Japanese Navy admiral who served as Navy Minister during World War II and played a key role in Japan’s wartime naval policy.
-
C.
吉田 茂
吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
-
D.
栗林忠道
栗林忠道は、第二次世界大戦中に硫黄島守備隊を指揮し、徹底した防御戦術で知られる日本陸軍の将軍です。
-
E.
木戸孝允
木戸孝允は、長州藩出身で明治維新を主導した「維新の三傑」の一人として知られる日本の武士・政治家です。
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 前職(内閣総理大臣) Context triple: [寺内正毅, 前職(内閣総理大臣), 大隈重信]
-
A.
predecessorAsPrimeMinister
chosen
Indicates that one person previously held the office of Prime Minister immediately before another person.
-
B.
第何代内閣総理大臣
Indicates the ordinal position of a person in the sequence of individuals who have served as Prime Minister (e.g., "the Nth Prime Minister").
-
C.
precededInOfficeAsChancellorBy
Indicates that one individual assumed the role of Chancellor after another specific individual, who held the office immediately before them.
-
D.
predecessorInOffice
Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
-
E.
formerChancellor
Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022850bf08190953cd5394f821801 |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d7456408190962c476f2848927e |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04edaa7408190811007d27549a35d |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04ff40ce88190a9aa8886c22386e1 |
completed | March 22, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.